| Title | Non-tumor H&E tiles image in LUAD |
|---|---|
| Description | 5000 digitalized non-tumor H&E tiles image from lung adenocarcinoma patients. |
| Organism | Homo |
| Data Type | Other Type of Image Data |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA020924 |
| Release Date | 2023-11-02 |
| Submitter | Yipeng Feng (njmufyp@163.com) |
| Organization | Jiangsu cancer hospital |
| Submission Date | 2023-10-31 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX005176-01 | Non-tumor | 1 | Other Type of Image Data | 56.0 MB | zip | Controlled |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Deep learning-based detection and semi-quantitative model for spread through air spaces (STAS) in lung adenocarcinoma | NPJ Precision Oncology | 2024-08 | OMIX005176 OMIX005175 | Deposit |